Adaptive smart glove from MIT CSAIL researchers can send tactile feedback to teach users new skills, guide robots with more precise manipulation, and help train surgeons and pilots.

Using a machine-learning algorithm, researchers can predict interactions that could interfere with a drug’s effectiveness.

MIT engineers developed a tag that can reveal with near-perfect accuracy whether an item is real or fake. The key is in the glue on the back of the tag.

MIT spinout Elicio developed a vaccine based on a lymph node-targeting approach first developed at the Koch Institute. Phase 1 solid tumor clinical trial results are promising so far.

Applying a small voltage to a catalyst can increase the rates of reactions used in petrochemical processing, pharmaceutical manufacture, and many other processes.

The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.

Performing this test could help doctors prevent dysfunction that can occur when the right and left ventricles of the heart become imbalanced.

Innovative AI system from MIT CSAIL melds simulations and physical testing to forge materials with newfound durability and flexibility for diverse engineering uses.

Researchers developed a simple yet effective solution for a puzzling problem that can worsen the performance of large language models such as ChatGPT.

The sticky, wearable sensor could help identify early signs of acute liver failure.